Triple
T14814279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Kissack |
E348268
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wrecked
Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
|
E1120482
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wrecked | Statement: [Eric Kissack, notableWork, Wrecked]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wrecked Context triple: [Eric Kissack, notableWork, Wrecked]
-
A.
Wrecked
"Wrecked" is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a lighthearted, suspenseful whodunit.
-
B.
The Wreck
The Wreck is a popular surf break off Byron Bay, Australia, known for the shipwreck that shapes its waves and distinctive lineup.
-
C.
Found Drowned
Found Drowned is a somber 19th-century painting by George Frederic Watts depicting the tragic aftermath of a woman's suicide, reflecting Victorian social concerns and moral themes.
-
D.
Wreck Beach
Wreck Beach is a famous clothing-optional beach in Vancouver, British Columbia, known for its natural setting, steep access trails, and countercultural atmosphere.
-
E.
Wreck Beach
Wreck Beach is a secluded coastal beach known for its natural scenery and relative isolation near Tomaree Head in New South Wales, Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wrecked Triple: [Eric Kissack, notableWork, Wrecked]
Generated description
Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wrecked Target entity description: Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
-
A.
Wrecked
"Wrecked" is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a lighthearted, suspenseful whodunit.
-
B.
The Wreck
The Wreck is a popular surf break off Byron Bay, Australia, known for the shipwreck that shapes its waves and distinctive lineup.
-
C.
Found Drowned
Found Drowned is a somber 19th-century painting by George Frederic Watts depicting the tragic aftermath of a woman's suicide, reflecting Victorian social concerns and moral themes.
-
D.
Wreck Beach
Wreck Beach is a secluded coastal beach known for its natural scenery and relative isolation near Tomaree Head in New South Wales, Australia.
-
E.
Wreck Beach
Wreck Beach is a famous clothing-optional beach in Vancouver, British Columbia, known for its natural setting, steep access trails, and countercultural atmosphere.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24cca0b88190b20a6c7dd77b8146 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe291c69fc8190b29d6d2ca89ce6ec |
completed | May 8, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe29a093d0819092ae65dc66a3c190 |
completed | May 8, 2026, 6:21 p.m. |
Created at: April 10, 2026, 1:48 a.m.